CLARA |
0.842
|
metric=euclidean k=8 samples=20 |
Clustering |
Self Organizing Maps |
0.615
|
x=2 y=27 |
Clustering |
Spectral Clustering |
0.947
|
k=8 |
Clustering |
clusterdp |
1.0
|
k=8 dc=2.587697389143054 |
Clustering |
HDBSCAN |
0.9
|
minPts=8 k=95 |
Clustering |
AGNES |
1.0
|
method=flexible metric=euclidean k=4 |
Clustering |
c-Means |
0.871
|
k=8 m=3.5 |
Clustering |
k-Medoids (PAM) |
0.838
|
k=4 |
Clustering |
DIANA |
0.839
|
metric=euclidean k=52 |
Clustering |
DBSCAN |
0.865
|
eps=32.34621736428818 MinPts=604 |
Clustering |
Hierarchical Clustering |
0.986
|
method=single k=6 |
Clustering |
fanny |
0.845
|
k=4 membexp=1.1 |
Clustering |
k-Means |
0.836
|
k=6 nstart=10 |
Clustering |
DensityCut |
1.0
|
alpha=1.52587890625E-5 K=10 |
Clustering |
clusterONE |
0.465
|
s=158 d=0.7 |
Clustering |
Affinity Propagation |
0.48
|
dampfact=0.99 preference=0.0 maxits=3500 convits=350 |
Clustering |
Markov Clustering |
0.465
|
I=1.2247247247247248 |
Clustering |
Transitivity Clustering |
0.99
|
T=28.8299018430052 |
Clustering |
MCODE |
0.821
|
v=0.3 cutoff=30.728906496073773 haircut=F fluff=F |
Clustering |